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Eike Blomeier, Sebastian Schmidt and Bernd Resch
In the early stages of a disaster caused by a natural hazard (e.g., flood), the amount of available and useful information is low. To fill this informational gap, emergency responders are increasingly using data from geo-social media to gain insights fro...
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Ulzhan Bissarinova, Aidana Tleuken, Sofiya Alimukhambetova, Huseyin Atakan Varol and Ferhat Karaca
This paper introduces a deep learning (DL) tool capable of classifying cities and revealing the features that characterize each city from a visual perspective. The study utilizes city view data captured from satellites and employs a methodology involving...
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William Villegas-Ch, Angel Jaramillo-Alcázar and Sergio Luján-Mora
This study evaluated the generation of adversarial examples and the subsequent robustness of an image classification model. The attacks were performed using the Fast Gradient Sign method, the Projected Gradient Descent method, and the Carlini and Wagner ...
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Mariana Isabel Puente Riofrío, Soledad Janett Mostacero Llerena and Gilma Gabriela Uquillas Granizo
The construction industry is fraught with risks due to the use of heavy machinery and work at heights, leading to increased occupational accidents. Understanding how the work environment affects personnel adaptation is crucial, as a negative environment ...
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Miao Tian, Xinxin Hu, Jiakai Huang, Kai Ma, Haiyan Li, Shuai Zheng, Liufeng Tao and Qinjun Qiu
The growing proliferation of geographic information presents a substantial challenge to the traditional framework of a geographic information analysis and service. The dynamic integration and representation of geographic knowledge, such as triples, with ...
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Panagiotis Filippakis, Stefanos Ougiaroglou and Georgios Evangelidis
Reducing the size of the training set, which involves replacing it with a condensed set, is a widely adopted practice to enhance the efficiency of instance-based classifiers while trying to maintain high classification accuracy. This objective can be ach...
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Wenying Du, Chang Ge, Shuang Yao, Nengcheng Chen and Lei Xu
Volunteered geographic information (VGI) plays an increasingly crucial role in flash floods. However, topic classification and spatiotemporal analysis are complicated by the various expressions and lengths of social media textual data. This paper conduct...
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Rui Zhu, Bo Liu, Ruwen Zhang, Shengxiang Zhang and Jiuxin Cao
The constantly updating big data in the ocean engineering domain has challenged the traditional manner of manually extracting knowledge, thereby underscoring the current absence of a knowledge graph framework in such a special field. This paper proposes ...
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Suraj Kumar Nayak, Bikash Pradhan, Biswaranjan Mohanty, Jayaraman Sivaraman, Sirsendu Sekhar Ray, Jolanta Wawrzyniak, Maciej Jarzebski and Kunal Pal
Heart rate variability (HRV) has emerged as an essential non-invasive tool for understanding cardiac autonomic function over the last few decades. This can be attributed to the direct connection between the heart?s rhythm and the activity of the sympathe...
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Edgar Enriquez-Gómez, Jorge Acosta-Dibarrat, Martín Talavera-Rojas, Edgardo Soriano-Vargas, Armando Navarro, Rosario Morales-Espinosa, Valente Velázquez-Ordoñez and Luis Cal-Pereyra
Sheep represent one of the main reservoirs of diarrheagenic Escherichia coli; this microorganism is an etiological agent of food-borne diseases; therefore, this work aimed to identify and characterize the principal pathotypes of diarrheagenic E. coli (DE...
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